Mark Schwab

2.5k total citations · 1 hit paper
6 papers, 1.7k citations indexed

About

Mark Schwab is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Mark Schwab has authored 6 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 1 paper in Surgery and 1 paper in Molecular Biology. Recurrent topics in Mark Schwab's work include Cardiac electrophysiology and arrhythmias (6 papers), Cardiac Arrhythmias and Treatments (4 papers) and Atrial Fibrillation Management and Outcomes (4 papers). Mark Schwab is often cited by papers focused on Cardiac electrophysiology and arrhythmias (6 papers), Cardiac Arrhythmias and Treatments (4 papers) and Atrial Fibrillation Management and Outcomes (4 papers). Mark Schwab collaborates with scholars based in United States and Thailand. Mark Schwab's co-authors include Koonlawee Nademanee, Erol M. Kosar, Tachapong Ngarmukos, Buncha Sunsaneewitayakul, Chotikorn Khunnawat, John P. McKenzie, Nithi Visessook, Aharon Abbo, Gumpanart Veerakul and Bramah N. Singh and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and American Heart Journal.

In The Last Decade

Mark Schwab

6 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A new approach for catheter ablation of atrial fibrillation: mapping of the electrophysiologic substrate

2004 1.4k citations Koonlawee Nademanee, John P. McKenzie et al. Journal of the American College of Cardiology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mark Schwab United States	5	1.7k	42	40	38	23	6	1.7k
Mihoko Kawabata Japan	16	967 0.6×	89 2.1×	38 0.9×	46 1.2×	33 1.4×	64	1.0k
Per Blomström Sweden	15	915 0.5×	103 2.5×	93 2.3×	53 1.4×	16 0.7×	39	934
J L Medvedowsky France	5	489 0.3×	31 0.7×	24 0.6×	28 0.7×	36 1.6×	13	511
C Villemaire Canada	11	746 0.4×	33 0.8×	108 2.7×	20 0.5×	7 0.3×	18	768
Soraya Samii United States	13	399 0.2×	31 0.7×	39 1.0×	24 0.6×	9 0.4×	29	444
Marwan Bahu United States	17	1.2k 0.7×	68 1.6×	44 1.1×	40 1.1×	9 0.4×	33	1.3k
Mark Harvey United States	20	1.9k 1.1×	134 3.2×	48 1.2×	56 1.5×	4 0.2×	31	1.9k
José M. González Rebollo Spain	10	741 0.4×	57 1.4×	64 1.6×	42 1.1×	17 0.7×	26	770
Kee‐Joon Choi South Korea	14	790 0.5×	56 1.3×	49 1.2×	56 1.5×	25 1.1×	64	835
Kazumasa Hiejima Japan	10	437 0.3×	19 0.5×	52 1.3×	9 0.2×	36 1.6×	63	467

Countries citing papers authored by Mark Schwab

Since Specialization

Citations

This map shows the geographic impact of Mark Schwab's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Schwab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Schwab more than expected).

Fields of papers citing papers by Mark Schwab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Schwab. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Schwab. The network helps show where Mark Schwab may publish in the future.

Co-authorship network of co-authors of Mark Schwab

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Schwab. A scholar is included among the top collaborators of Mark Schwab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Schwab. Mark Schwab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Nademanee, Koonlawee, et al.. (2014). Benefits and risks of catheter ablation in elderly patients with atrial fibrillation. Heart Rhythm. 12(1). 44–51. 60 indexed citations

2.

Nademanee, Koonlawee, et al.. (2008). Clinical Outcomes of Catheter Substrate Ablation for High-Risk Patients With Atrial Fibrillation. Journal of the American College of Cardiology. 51(8). 843–849. 213 indexed citations

3.

Nademanee, Koonlawee, et al.. (2006). How to perform electrogram-guided atrial fibrillation ablation. Heart Rhythm. 3(8). 981–984. 42 indexed citations

4.

Nademanee, Koonlawee, John P. McKenzie, Erol M. Kosar, et al.. (2004). A new approach for catheter ablation of atrial fibrillation: mapping of the electrophysiologic substrate. Journal of the American College of Cardiology. 43(11). 2044–2053. 1369 indexed citations breakdown →

5.

Josephson, Martin A., et al.. (1987). Effects of intravenous N-acetylprocainamide on hemodynamics and left ventricular function in man. American Heart Journal. 113(4). 952–957. 3 indexed citations

6.

Singh, Bramah N., et al.. (1985). Comparative electrophysiologic profiles of calcium antagonists with particular reference to bepridil. The American Journal of Cardiology. 55(7). C14–C19. 37 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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